Alternatives and similar repositories for decoding-time-realignment:

Users that are interested in decoding-time-realignment are comparing it to the libraries listed below

• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆40Updated 4 months ago
• RUCAIBox / QuantizedEmpirical
  ☆13Updated last year
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆38Updated 3 months ago
• chtmp223 / suri
  Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)
  ☆22Updated 2 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆34Updated 9 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆45Updated last month
• yegcjs / mixinglaws
  ☆94Updated 4 months ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆76Updated 10 months ago
• shuyhere / about-super-alignment
  Feeling confused about super alignment? Here is a reading list
  ☆42Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆71Updated 7 months ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆20Updated 7 months ago
• kamanphoebe / Look-into-MoEs
  A Closer Look into Mixture-of-Experts in Large Language Models
  ☆41Updated 5 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 4 months ago
• Jikai0Wang / OPT-Tree
  OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
  ☆20Updated 5 months ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆40Updated 8 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆31Updated 4 months ago
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆29Updated 2 months ago
• OrangeInSouth / DeePEn
  A method of ensemble learning for heterogeneous large language models.
  ☆33Updated 5 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆76Updated 4 months ago
• TianHongZXY / CoRe
  [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
  ☆48Updated last year
• PKU-ML / LongPPL
  ☆27Updated 2 months ago
• swj0419 / in-context-pretraining
  ☆48Updated 9 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆65Updated last year
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated last year
• princeton-pli / LongProc
  LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
  ☆18Updated last week
• swtheing / PF-PPO-RLHF
  ☆30Updated 4 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆31Updated 5 months ago
• Shark-NLP / CAB
  ☆30Updated last year
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆58Updated 3 months ago
• cofe-ai / Mu-scaling
  Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
  ☆31Updated last year